Sentinel Analysis and Visualization of Post-covid Impact on Child Behaviour Using Machine Learning

The sudden Covid-19 outbreak spread by a coronavirus (SARS-CoV-2) changed the living style of the entire world and the lockdown created an environment full of fear and anxiety within everyone. Psychosocial and mental health is affected so much; their major impact can be seen in adolescents and children. Effect on adolescents can be seen by various factors like growth with age, educational upbringing, pre-existing health issues, mental health conditions, behavioural issues, etc. This paper focused on post-Covid-19 conditions and future concerns in a child's health. After reviewing various articles related to the impact of Covid-19, children with mental- health aspects, and educational loss, is observed that the present/future conditions of the pandemic need a deep study on child healthcare and nationwide awareness to handle such a situation. This survey based on online data was designed to get an overview of the present situation of children and issues with them. Parents and health workers play a vital role in understanding the negative outcomes of the lockdown. The result analysis will help us to design a predictive model by using Tableau and Python Libraries. We have visualized the collected data and tried to observe the present/upcoming issues in children. This study will teach us about the change in their behaviour and learning challenges. This paper will work as a catalyst for the health and educational sectors to adopt a platform with technology to overcome such conditions. The observation also sheds some light on family type, its Strengths, Challenges, analysis of mental health, and a step ahead toward predicting future issues on an early basis.